The Engineering team supports Favor’s mission to bring fast, fresh delivery to Texans far and wide. The Favor technology platform is the engine behind the business that enables our Runners (that’s what we call Favor delivery drivers) to deliver millions of Favors. Our technology efficiently manages the real-time assignment of Favors, facilitates communication between customers, Runners, and Support team, keeps mobile applications in sync, and more. 

We are looking for an experienced Machine Learning Engineer to architect, implement, and optimize machine learning systems and contribute to the success of our data science initiatives. You will report to the Vice President of Data and collaborate with the Engineering, Data Science, Data Engineering, and Infrastructure teams.

What You'll Do

• Understand the steps and methodology data scientists follow, and build tools to support and accelerate their process to create value
• Collaborate with engineers and data scientists to build systems that will deliver data science solutions to the rest of the organization
• Develop internal tools to improve dataset creation, model training, and deployment
• Build robust monitoring and alerting systems around the models and tools we use to ensure stability
• Identify potential projects that can help the team and organization work more efficiently together

• A bachelor's or equivalent work experience 
• 7 years of combined experience in machine learning engineering and software engineering, with a focus on infrastructure and pipelines (or equivalent experience)
• Proficiency in Python and cloud deployments
• Comfort using cloud permission models (ie. AWS IAM)
• Experience with JVM-based stack and languages like Java and Kotlin
• Experience with the technology of AWS, Airflow, Docker & Jenkins
• Ability to operate with minimal direction to drive large-scale initiatives
• Can expertly design efficient, clear, robust, maintainable, and scalable domain-level solutions
• Ability to analyze new technologies and their impact when incorporating them into a system 
• Deep experience with IaC tooling such as terraform, helm, etc.

• You love to write clean, well-tested code (test-first or test-driven development approaches are a plus)
• You have collaborated with data science teams in the past

Life at Favor

Where you’ll work: This is a hybrid role, meaning you’ll work from home roughly three days per week and collaborate with other team members in person at our HQ in Austin, Texas for the remaining work days. No matter where you work best, we foster an inclusive and flexible environment to support our workforce. 

Benefits: We offer premium health, vision, dental, and life insurance, alongside 401(k) options. We go beyond the basics, while also throwing in Favor delivery fee credit and H-E-B discounts! 

Paid time off (PTO): We offer unlimited PTO for salaried employees (that’s actually unlimited) and ample vacation time to all team members.

Learning and development: We encourage personal growth and education through Intern(al)ships and Learning Labs taught by Favor team members and external facilitators.

Community: Whether you’re an avid cyclist, dog lover, or Magic enthusiast, there’s a group for you here. We foster community through Employee Resource Groups (ERGs), quarterly company-wide events, weekly happy hours, and regular connection opportunities.

Diversity, equity, and inclusion: At Favor, we believe that to be the best delivery app in Texas, we need to represent all Texans. We are committed to growing a team with different backgrounds, experiences, abilities, and perspectives, and we are an equal opportunity employer. 

In addition, as a candidate, if you require any accommodations throughout the recruitment process, simply let your recruiter know! Our talent acquisition team will work with you directly to ensure a smooth and delightful process.